splice

Dataset statistics

Number of variables	20
Number of observations	3188
Missing cells	0
Missing cells (%)	0.0%
Duplicate rows	333
Duplicate rows (%)	10.4%
Total size in memory	498.2 KiB
Average record size in memory	160.0 B

Variable types

NUM	13
CAT	7

Reproduction

Analysis started	2020-08-25 01:56:34.824064
Analysis finished	2020-08-25 01:57:04.770883
Duration	29.95 seconds
Version	pandas-profiling v2.8.0
Command line	`pandas_profiling --config_file config.yaml [YOUR_FILE.csv]`
Download configuration	config.yaml

Warnings

Dataset has 333 (10.4%) duplicate rows	Duplicates
`A0` has 747 (23.4%) zeros	Zeros
`A36` has 814 (25.5%) zeros	Zeros
`A45` has 757 (23.7%) zeros	Zeros
`A13` has 803 (25.2%) zeros	Zeros
`A54` has 799 (25.1%) zeros	Zeros
`A33` has 1116 (35.0%) zeros	Zeros
`A48` has 723 (22.7%) zeros	Zeros
`A57` has 724 (22.7%) zeros	Zeros
`A46` has 730 (22.9%) zeros	Zeros
`A50` has 697 (21.9%) zeros	Zeros
`A31` has 596 (18.7%) zeros	Zeros
`A52` has 734 (23.0%) zeros	Zeros
`A40` has 722 (22.6%) zeros	Zeros

A0
Real number (ℝ_≥0)

ZEROS

Distinct count	5
Unique (%)	0.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	2.0075282308657467
Minimum	0
Maximum	4
Zeros	747
Zeros (%)	23.4%
Memory size	25.0 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	1
median	3
Q3	3
95-th percentile	4
Maximum	4
Range	4
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	1.547878222
Coefficient of variation (CV)	0.7710368396
Kurtosis	-1.609878221
Mean	2.007528231
Median Absolute Deviation (MAD)	1
Skewness	-0.01815575205
Sum	6400
Variance	2.395926992

Histogram

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
3	875	27.4%
1	829	26.0%
0	747	23.4%
4	736	23.1%
2	1	< 0.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	747	23.4%
1	829	26.0%
2	1	< 0.1%
3	875	27.4%
4	736	23.1%

Value	Count	Frequency (%)
4	736	23.1%
3	875	27.4%
2	1	< 0.1%
1	829	26.0%
0	747	23.4%

A5
Categorical

Distinct count	4
Unique (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	25.0 KiB

1	901
2	821
3	754
0	712

Value	Count	Frequency (%)
1	901	28.3%
2	821	25.8%
3	754	23.7%
0	712	22.3%

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Overview of Unicode Properties

Unique unicode characters	4
Unique unicode categories (?)	1
Unique unicode scripts (?)	1
Unique unicode blocks (?)	1

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

Value	Count	Frequency (%)
1	901	28.3%
2	821	25.8%
3	754	23.7%
0	712	22.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3188	100.0%

Most frequent Decimal Number characters

Value	Count	Frequency (%)
1	901	28.3%
2	821	25.8%
3	754	23.7%
0	712	22.3%

Most occurring scripts

Value	Count	Frequency (%)
Common	3188	100.0%

Most frequent Common characters

Value	Count	Frequency (%)
1	901	28.3%
2	821	25.8%
3	754	23.7%
0	712	22.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3188	100.0%

Most frequent ASCII characters

Value	Count	Frequency (%)
1	901	28.3%
2	821	25.8%
3	754	23.7%
0	712	22.3%

A36
Real number (ℝ_≥0)

ZEROS

Distinct count	5
Unique (%)	0.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	1.679422835633626
Minimum	0
Maximum	4
Zeros	814
Zeros (%)	25.5%
Memory size	25.0 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	2
Q3	2
95-th percentile	4
Maximum	4
Range	4
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	1.411145084
Coefficient of variation (CV)	0.840255982
Kurtosis	-0.935443104
Mean	1.679422836
Median Absolute Deviation (MAD)	1
Skewness	0.4829631137
Sum	5354
Variance	1.991330448

Histogram

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
2	966	30.3%
0	814	25.5%
1	736	23.1%
4	670	21.0%
3	2	0.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	814	25.5%
1	736	23.1%
2	966	30.3%
3	2	0.1%
4	670	21.0%

Value	Count	Frequency (%)
4	670	21.0%
3	2	0.1%
2	966	30.3%
1	736	23.1%
0	814	25.5%

A45
Real number (ℝ_≥0)

ZEROS

Distinct count	5
Unique (%)	0.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	1.7057716436637391
Minimum	0
Maximum	4
Zeros	757
Zeros (%)	23.7%
Memory size	25.0 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	1
median	1
Q3	2
95-th percentile	4
Maximum	4
Range	4
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	1.42063481
Coefficient of variation (CV)	0.8328399733
Kurtosis	-0.9753252616
Mean	1.705771644
Median Absolute Deviation (MAD)	1
Skewness	0.4963578294
Sum	5438
Variance	2.018203264

Histogram

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
2	878	27.5%
1	843	26.4%
0	757	23.7%
4	709	22.2%
3	1	< 0.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	757	23.7%
1	843	26.4%
2	878	27.5%
3	1	< 0.1%
4	709	22.2%

Value	Count	Frequency (%)
4	709	22.2%
3	1	< 0.1%
2	878	27.5%
1	843	26.4%
0	757	23.7%

A13
Real number (ℝ_≥0)

ZEROS

Distinct count	5
Unique (%)	0.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	1.6994981179422837
Minimum	0
Maximum	4
Zeros	803
Zeros (%)	25.2%
Memory size	25.0 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	1
Q3	2
95-th percentile	4
Maximum	4
Range	4
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	1.472700986
Coefficient of variation (CV)	0.8665505249
Kurtosis	-1.094942119
Mean	1.699498118
Median Absolute Deviation (MAD)	1
Skewness	0.5085788896
Sum	5418
Variance	2.168848195

Histogram

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
1	898	28.2%
0	803	25.2%
4	772	24.2%
2	713	22.4%
3	2	0.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	803	25.2%
1	898	28.2%
2	713	22.4%
3	2	0.1%
4	772	24.2%

Value	Count	Frequency (%)
4	772	24.2%
3	2	0.1%
2	713	22.4%
1	898	28.2%
0	803	25.2%

A54
Real number (ℝ_≥0)

ZEROS

Distinct count	5
Unique (%)	0.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	1.6828732747804267
Minimum	0
Maximum	4
Zeros	799
Zeros (%)	25.1%
Memory size	25.0 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	1
Q3	2
95-th percentile	4
Maximum	4
Range	4
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	1.431018701
Coefficient of variation (CV)	0.8503425196
Kurtosis	-0.9824211661
Mean	1.682873275
Median Absolute Deviation (MAD)	1
Skewness	0.5080343702
Sum	5365
Variance	2.047814522

Histogram

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
2	856	26.9%
1	826	25.9%
0	799	25.1%
4	706	22.1%
3	1	< 0.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	799	25.1%
1	826	25.9%
2	856	26.9%
3	1	< 0.1%
4	706	22.1%

Value	Count	Frequency (%)
4	706	22.1%
3	1	< 0.1%
2	856	26.9%
1	826	25.9%
0	799	25.1%

A33
Real number (ℝ_≥0)

ZEROS

Distinct count	5
Unique (%)	0.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	1.4523212045169385
Minimum	0
Maximum	4
Zeros	1116
Zeros (%)	35.0%
Memory size	25.0 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	1
Q3	2
95-th percentile	4
Maximum	4
Range	4
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	1.442959257
Coefficient of variation (CV)	0.9935538034
Kurtosis	-0.7962542722
Mean	1.452321205
Median Absolute Deviation (MAD)	1
Skewness	0.6893532309
Sum	4630
Variance	2.082131416

Histogram

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
0	1116	35.0%
2	750	23.5%
1	719	22.6%
4	602	18.9%
3	1	< 0.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	1116	35.0%
1	719	22.6%
2	750	23.5%
3	1	< 0.1%
4	602	18.9%

Value	Count	Frequency (%)
4	602	18.9%
3	1	< 0.1%
2	750	23.5%
1	719	22.6%
0	1116	35.0%

A48
Real number (ℝ_≥0)

ZEROS

Distinct count	5
Unique (%)	0.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	1.6941656210790463
Minimum	0
Maximum	4
Zeros	723
Zeros (%)	22.7%
Memory size	25.0 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	1
median	2
Q3	2
95-th percentile	4
Maximum	4
Range	4
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	1.384708669
Coefficient of variation (CV)	0.8173396107
Kurtosis	-0.8702551444
Mean	1.694165621
Median Absolute Deviation (MAD)	1
Skewness	0.5166374184
Sum	5401
Variance	1.917418099

Histogram

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
2	940	29.5%
1	859	26.9%
0	723	22.7%
4	664	20.8%
3	2	0.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	723	22.7%
1	859	26.9%
2	940	29.5%
3	2	0.1%
4	664	20.8%

Value	Count	Frequency (%)
4	664	20.8%
3	2	0.1%
2	940	29.5%
1	859	26.9%
0	723	22.7%

A12
Categorical

Distinct count	4
Unique (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	25.0 KiB

1	876
3	826
2	759
0	727

Value	Count	Frequency (%)
1	876	27.5%
3	826	25.9%
2	759	23.8%
0	727	22.8%

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Overview of Unicode Properties

Unique unicode characters	4
Unique unicode categories (?)	1
Unique unicode scripts (?)	1
Unique unicode blocks (?)	1

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

Value	Count	Frequency (%)
1	876	27.5%
3	826	25.9%
2	759	23.8%
0	727	22.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3188	100.0%

Most frequent Decimal Number characters

Value	Count	Frequency (%)
1	876	27.5%
3	826	25.9%
2	759	23.8%
0	727	22.8%

Most occurring scripts

Value	Count	Frequency (%)
Common	3188	100.0%

Most frequent Common characters

Value	Count	Frequency (%)
1	876	27.5%
3	826	25.9%
2	759	23.8%
0	727	22.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3188	100.0%

Most frequent ASCII characters

Value	Count	Frequency (%)
1	876	27.5%
3	826	25.9%
2	759	23.8%
0	727	22.8%

A57
Real number (ℝ_≥0)

ZEROS

Distinct count	5
Unique (%)	0.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	1.7368255959849435
Minimum	0
Maximum	4
Zeros	724
Zeros (%)	22.7%
Memory size	25.0 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	1
median	1
Q3	2
95-th percentile	4
Maximum	4
Range	4
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	1.429681843
Coefficient of variation (CV)	0.8231579762
Kurtosis	-1.024474791
Mean	1.736825596
Median Absolute Deviation (MAD)	1
Skewness	0.4796426465
Sum	5537
Variance	2.043990171

Histogram

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
1	874	27.4%
2	848	26.6%
4	741	23.2%
0	724	22.7%
3	1	< 0.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	724	22.7%
1	874	27.4%
2	848	26.6%
3	1	< 0.1%
4	741	23.2%

Value	Count	Frequency (%)
4	741	23.2%
3	1	< 0.1%
2	848	26.6%
1	874	27.4%
0	724	22.7%

A46
Real number (ℝ_≥0)

ZEROS

Distinct count	5
Unique (%)	0.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	1.7854454203262233
Minimum	0
Maximum	4
Zeros	730
Zeros (%)	22.9%
Memory size	25.0 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	1
median	2
Q3	2
95-th percentile	4
Maximum	4
Range	4
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	1.440509953
Coefficient of variation (CV)	0.8068070505
Kurtosis	-1.089383931
Mean	1.78544542
Median Absolute Deviation (MAD)	1
Skewness	0.4031516818
Sum	5692
Variance	2.075068926

Histogram

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
2	925	29.0%
4	769	24.1%
1	763	23.9%
0	730	22.9%
3	1	< 0.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	730	22.9%
1	763	23.9%
2	925	29.0%
3	1	< 0.1%
4	769	24.1%

Value	Count	Frequency (%)
4	769	24.1%
3	1	< 0.1%
2	925	29.0%
1	763	23.9%
0	730	22.9%

A50
Real number (ℝ_≥0)

ZEROS

Distinct count	5
Unique (%)	0.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	1.730865746549561
Minimum	0
Maximum	4
Zeros	697
Zeros (%)	21.9%
Memory size	25.0 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	1
median	2
Q3	2
95-th percentile	4
Maximum	4
Range	4
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	1.402749867
Coefficient of variation (CV)	0.8104325073
Kurtosis	-0.9498822309
Mean	1.730865747
Median Absolute Deviation (MAD)	1
Skewness	0.4929266357
Sum	5518
Variance	1.967707189

Histogram

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
2	901	28.3%
1	881	27.6%
4	708	22.2%
0	697	21.9%
3	1	< 0.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	697	21.9%
1	881	27.6%
2	901	28.3%
3	1	< 0.1%
4	708	22.2%

Value	Count	Frequency (%)
4	708	22.2%
3	1	< 0.1%
2	901	28.3%
1	881	27.6%
0	697	21.9%

A31
Real number (ℝ_≥0)

ZEROS

Distinct count	5
Unique (%)	0.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	2.342220828105395
Minimum	0
Maximum	4
Zeros	596
Zeros (%)	18.7%
Memory size	25.0 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	1
median	2
Q3	4
95-th percentile	4
Maximum	4
Range	4
Interquartile range (IQR)	3

Descriptive statistics

Standard deviation	1.61414724
Coefficient of variation (CV)	0.6891524578
Kurtosis	-1.585411065
Mean	2.342220828
Median Absolute Deviation (MAD)	2
Skewness	-0.1914018206
Sum	7467
Variance	2.605471314

Histogram

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
4	1429	44.8%
0	596	18.7%
2	586	18.4%
1	576	18.1%
3	1	< 0.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	596	18.7%
1	576	18.1%
2	586	18.4%
3	1	< 0.1%
4	1429	44.8%

Value	Count	Frequency (%)
4	1429	44.8%
3	1	< 0.1%
2	586	18.4%
1	576	18.1%
0	596	18.7%

A3
Categorical

Distinct count	4
Unique (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	25.0 KiB

1	876
2	801
0	757
3	754

Value	Count	Frequency (%)
1	876	27.5%
2	801	25.1%
0	757	23.7%
3	754	23.7%

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Overview of Unicode Properties

Unique unicode characters	4
Unique unicode categories (?)	1
Unique unicode scripts (?)	1
Unique unicode blocks (?)	1

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

Value	Count	Frequency (%)
1	876	27.5%
2	801	25.1%
0	757	23.7%
3	754	23.7%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3188	100.0%

Most frequent Decimal Number characters

Value	Count	Frequency (%)
1	876	27.5%
2	801	25.1%
0	757	23.7%
3	754	23.7%

Most occurring scripts

Value	Count	Frequency (%)
Common	3188	100.0%

Most frequent Common characters

Value	Count	Frequency (%)
1	876	27.5%
2	801	25.1%
0	757	23.7%
3	754	23.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3188	100.0%

Most frequent ASCII characters

Value	Count	Frequency (%)
1	876	27.5%
2	801	25.1%
0	757	23.7%
3	754	23.7%

A52
Real number (ℝ_≥0)

ZEROS

Distinct count	5
Unique (%)	0.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	1.751254705144291
Minimum	0
Maximum	4
Zeros	734
Zeros (%)	23.0%
Memory size	25.0 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	1
median	2
Q3	2
95-th percentile	4
Maximum	4
Range	4
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	1.434015143
Coefficient of variation (CV)	0.8188501298
Kurtosis	-1.047750744
Mean	1.751254705
Median Absolute Deviation (MAD)	1
Skewness	0.4504453481
Sum	5583
Variance	2.056399429

Histogram

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
2	883	27.7%
1	822	25.8%
4	748	23.5%
0	734	23.0%
3	1	< 0.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	734	23.0%
1	822	25.8%
2	883	27.7%
3	1	< 0.1%
4	748	23.5%

Value	Count	Frequency (%)
4	748	23.5%
3	1	< 0.1%
2	883	27.7%
1	822	25.8%
0	734	23.0%

A17
Categorical

Distinct count	4
Unique (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	25.0 KiB

3	915
1	887
2	736
0	650

Value	Count	Frequency (%)
3	915	28.7%
1	887	27.8%
2	736	23.1%
0	650	20.4%

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Overview of Unicode Properties

Unique unicode characters	4
Unique unicode categories (?)	1
Unique unicode scripts (?)	1
Unique unicode blocks (?)	1

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

Value	Count	Frequency (%)
3	915	28.7%
1	887	27.8%
2	736	23.1%
0	650	20.4%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3188	100.0%

Most frequent Decimal Number characters

Value	Count	Frequency (%)
3	915	28.7%
1	887	27.8%
2	736	23.1%
0	650	20.4%

Most occurring scripts

Value	Count	Frequency (%)
Common	3188	100.0%

Most frequent Common characters

Value	Count	Frequency (%)
3	915	28.7%
1	887	27.8%
2	736	23.1%
0	650	20.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3188	100.0%

Most frequent ASCII characters

Value	Count	Frequency (%)
3	915	28.7%
1	887	27.8%
2	736	23.1%
0	650	20.4%

A8
Categorical

Distinct count	4
Unique (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	25.0 KiB

1	900
3	797
0	752
2	739

Value	Count	Frequency (%)
1	900	28.2%
3	797	25.0%
0	752	23.6%
2	739	23.2%

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Overview of Unicode Properties

Unique unicode characters	4
Unique unicode categories (?)	1
Unique unicode scripts (?)	1
Unique unicode blocks (?)	1

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

Value	Count	Frequency (%)
1	900	28.2%
3	797	25.0%
0	752	23.6%
2	739	23.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3188	100.0%

Most frequent Decimal Number characters

Value	Count	Frequency (%)
1	900	28.2%
3	797	25.0%
0	752	23.6%
2	739	23.2%

Most occurring scripts

Value	Count	Frequency (%)
Common	3188	100.0%

Most frequent Common characters

Value	Count	Frequency (%)
1	900	28.2%
3	797	25.0%
0	752	23.6%
2	739	23.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3188	100.0%

Most frequent ASCII characters

Value	Count	Frequency (%)
1	900	28.2%
3	797	25.0%
0	752	23.6%
2	739	23.2%

A6
Categorical

Distinct count	4
Unique (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	25.0 KiB

1	860
0	787
3	782
2	759

Value	Count	Frequency (%)
1	860	27.0%
0	787	24.7%
3	782	24.5%
2	759	23.8%

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Overview of Unicode Properties

Unique unicode characters	4
Unique unicode categories (?)	1
Unique unicode scripts (?)	1
Unique unicode blocks (?)	1

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

Value	Count	Frequency (%)
1	860	27.0%
0	787	24.7%
3	782	24.5%
2	759	23.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3188	100.0%

Most frequent Decimal Number characters

Value	Count	Frequency (%)
1	860	27.0%
0	787	24.7%
3	782	24.5%
2	759	23.8%

Most occurring scripts

Value	Count	Frequency (%)
Common	3188	100.0%

Most frequent Common characters

Value	Count	Frequency (%)
1	860	27.0%
0	787	24.7%
3	782	24.5%
2	759	23.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3188	100.0%

Most frequent ASCII characters

Value	Count	Frequency (%)
1	860	27.0%
0	787	24.7%
3	782	24.5%
2	759	23.8%

A40
Real number (ℝ_≥0)

ZEROS

Distinct count	5
Unique (%)	0.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	1.7754077791718945
Minimum	0
Maximum	4
Zeros	722
Zeros (%)	22.6%
Memory size	25.0 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	1
median	2
Q3	2
95-th percentile	4
Maximum	4
Range	4
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	1.436796454
Coefficient of variation (CV)	0.8092768721
Kurtosis	-1.073609599
Mean	1.775407779
Median Absolute Deviation (MAD)	1
Skewness	0.4233100258
Sum	5660
Variance	2.064384051

Histogram

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
2	903	28.3%
1	799	25.1%
4	763	23.9%
0	722	22.6%
3	1	< 0.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	722	22.6%
1	799	25.1%
2	903	28.3%
3	1	< 0.1%
4	763	23.9%

Value	Count	Frequency (%)
4	763	23.9%
3	1	< 0.1%
2	903	28.3%
1	799	25.1%
0	722	22.6%

target
Categorical

Distinct count	3
Unique (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	25.0 KiB

2	1655
1	769
0	764

Value	Count	Frequency (%)
2	1655	51.9%
1	769	24.1%
0	764	24.0%

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Overview of Unicode Properties

Unique unicode characters	3
Unique unicode categories (?)	1
Unique unicode scripts (?)	1
Unique unicode blocks (?)	1

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

Value	Count	Frequency (%)
2	1655	51.9%
1	769	24.1%
0	764	24.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3188	100.0%

Most frequent Decimal Number characters

Value	Count	Frequency (%)
2	1655	51.9%
1	769	24.1%
0	764	24.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	3188	100.0%

Most frequent Common characters

Value	Count	Frequency (%)
2	1655	51.9%
1	769	24.1%
0	764	24.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3188	100.0%

Most frequent ASCII characters

Value	Count	Frequency (%)
2	1655	51.9%
1	769	24.1%
0	764	24.0%

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

Count
Matrix

First rows

	A0	A5	A36	A45	A13	A54	A33	A48	A12	A57	A46	A50	A31	A3	A52	A17	A8	A6	A40	target
0	0	2	1	2	0	4	2	4	2	4	4	0	4	1	4	3	1	1	2	0
1	3	2	1	4	4	4	1	1	1	1	2	1	1	3	2	3	1	1	4	1
2	0	2	2	4	1	4	1	1	1	2	4	4	4	2	4	2	2	3	0	2
3	4	1	2	0	0	2	2	2	2	2	1	4	1	1	1	1	1	3	1	2
4	0	0	1	0	0	4	0	2	0	4	2	1	0	3	1	0	0	2	2	2
5	1	1	4	2	1	1	0	0	1	0	2	4	1	1	1	2	1	3	2	1
6	0	0	4	4	1	0	4	0	0	4	1	1	0	2	1	3	3	0	0	2
7	1	2	4	1	1	0	2	0	1	1	0	2	0	0	2	1	1	2	4	2
8	4	1	0	2	1	0	4	0	1	0	0	1	1	1	0	3	3	3	4	2
9	1	1	0	0	2	2	0	1	0	4	4	0	2	1	4	1	1	3	4	2

Last rows

	A0	A5	A36	A45	A13	A54	A33	A48	A12	A57	A46	A50	A31	A3	A52	A17	A8	A6	A40	target
3178	0	3	2	1	2	4	0	4	2	2	1	2	4	3	1	0	3	3	2	0
3179	1	2	1	4	1	4	2	2	2	2	2	4	1	1	1	2	1	1	1	2
3180	3	2	4	1	2	2	4	1	2	2	4	1	2	0	2	3	2	2	0	2
3181	3	1	0	4	2	2	1	2	2	1	2	2	4	2	1	3	2	2	2	0
3182	4	0	0	0	1	4	1	4	0	2	0	1	1	2	1	1	1	0	2	2
3183	4	2	2	1	2	4	4	0	0	4	0	1	2	2	1	3	3	1	2	2
3184	0	1	2	2	1	1	4	2	2	1	2	4	2	3	0	2	3	3	2	2
3185	4	1	2	2	0	1	0	1	2	2	0	1	4	0	2	0	2	0	2	0
3186	1	2	4	1	1	4	4	2	1	0	4	1	0	1	4	3	3	1	1	1
3187	4	1	4	2	1	4	4	1	1	1	4	4	4	1	4	2	3	1	0	0

Most frequent

	A0	A5	A36	A45	A13	A54	A33	A48	A12	A57	A46	A50	A31	A3	A52	A17	A8	A6	A40	target	count
152	3	1	2	0	1	0	1	1	3	2	2	1	2	1	2	1	1	3	0	1	8
140	3	0	4	1	2	2	2	2	0	2	0	1	4	0	0	0	1	3	2	0	7
65	1	0	2	1	1	1	1	0	3	2	1	2	1	3	0	3	1	0	2	1	6
105	1	2	2	2	4	0	0	2	0	1	2	1	4	2	1	0	0	2	1	0	6
1	0	0	0	1	1	4	2	2	3	0	1	1	0	3	0	1	2	0	4	1	5
63	1	0	1	2	1	0	0	1	3	2	2	2	0	3	2	3	1	2	4	1	5
89	1	1	4	1	4	0	2	2	1	1	0	0	4	1	2	1	1	0	2	1	5
122	1	3	2	1	4	2	1	2	1	4	4	2	4	1	1	3	3	3	0	1	5
170	3	2	2	0	0	2	0	1	3	0	4	4	4	1	4	2	1	1	1	0	5
172	3	2	2	1	1	1	1	0	1	1	2	1	0	1	1	1	0	1	4	1	5

	A0	A5	A36	A45	A13	A54	A33	A48	A12	A57	A46	A50	A31	A3	A52	A17	A8	A6	A40	target
0	0	2	1	2	0	4	2	4	2	4	4	0	4	1	4	3	1	1	2	0
1	3	2	1	4	4	4	1	1	1	1	2	1	1	3	2	3	1	1	4	1
2	0	2	2	4	1	4	1	1	1	2	4	4	4	2	4	2	2	3	0	2
3	4	1	2	0	0	2	2	2	2	2	1	4	1	1	1	1	1	3	1	2
4	0	0	1	0	0	4	0	2	0	4	2	1	0	3	1	0	0	2	2	2
5	1	1	4	2	1	1	0	0	1	0	2	4	1	1	1	2	1	3	2	1
6	0	0	4	4	1	0	4	0	0	4	1	1	0	2	1	3	3	0	0	2
7	1	2	4	1	1	0	2	0	1	1	0	2	0	0	2	1	1	2	4	2
8	4	1	0	2	1	0	4	0	1	0	0	1	1	1	0	3	3	3	4	2
9	1	1	0	0	2	2	0	1	0	4	4	0	2	1	4	1	1	3	4	2

	A0	A5	A36	A45	A13	A54	A33	A48	A12	A57	A46	A50	A31	A3	A52	A17	A8	A6	A40	target	count
152	3	1	2	0	1	0	1	1	3	2	2	1	2	1	2	1	1	3	0	1	8
140	3	0	4	1	2	2	2	2	0	2	0	1	4	0	0	0	1	3	2	0	7
65	1	0	2	1	1	1	1	0	3	2	1	2	1	3	0	3	1	0	2	1	6
105	1	2	2	2	4	0	0	2	0	1	2	1	4	2	1	0	0	2	1	0	6
1	0	0	0	1	1	4	2	2	3	0	1	1	0	3	0	1	2	0	4	1	5
63	1	0	1	2	1	0	0	1	3	2	2	2	0	3	2	3	1	2	4	1	5
89	1	1	4	1	4	0	2	2	1	1	0	0	4	1	2	1	1	0	2	1	5
122	1	3	2	1	4	2	1	2	1	4	4	2	4	1	1	3	3	3	0	1	5
170	3	2	2	0	0	2	0	1	3	0	4	4	4	1	4	2	1	1	1	0	5
172	3	2	2	1	1	1	1	0	1	1	2	1	0	1	1	1	0	1	4	1	5

	A0	A5	A36	A45	A13	A54	A33	A48	A12	A57	A46	A50	A31	A3	A52	A17	A8	A6	A40	target
0	0	2	1	2	0	4	2	4	2	4	4	0	4	1	4	3	1	1	2	0
1	3	2	1	4	4	4	1	1	1	1	2	1	1	3	2	3	1	1	4	1
2	0	2	2	4	1	4	1	1	1	2	4	4	4	2	4	2	2	3	0	2
3	4	1	2	0	0	2	2	2	2	2	1	4	1	1	1	1	1	3	1	2
4	0	0	1	0	0	4	0	2	0	4	2	1	0	3	1	0	0	2	2	2
5	1	1	4	2	1	1	0	0	1	0	2	4	1	1	1	2	1	3	2	1
6	0	0	4	4	1	0	4	0	0	4	1	1	0	2	1	3	3	0	0	2
7	1	2	4	1	1	0	2	0	1	1	0	2	0	0	2	1	1	2	4	2
8	4	1	0	2	1	0	4	0	1	0	0	1	1	1	0	3	3	3	4	2
9	1	1	0	0	2	2	0	1	0	4	4	0	2	1	4	1	1	3	4	2

	A0	A5	A36	A45	A13	A54	A33	A48	A12	A57	A46	A50	A31	A3	A52	A17	A8	A6	A40	target	count
152	3	1	2	0	1	0	1	1	3	2	2	1	2	1	2	1	1	3	0	1	8
140	3	0	4	1	2	2	2	2	0	2	0	1	4	0	0	0	1	3	2	0	7
65	1	0	2	1	1	1	1	0	3	2	1	2	1	3	0	3	1	0	2	1	6
105	1	2	2	2	4	0	0	2	0	1	2	1	4	2	1	0	0	2	1	0	6
1	0	0	0	1	1	4	2	2	3	0	1	1	0	3	0	1	2	0	4	1	5
63	1	0	1	2	1	0	0	1	3	2	2	2	0	3	2	3	1	2	4	1	5
89	1	1	4	1	4	0	2	2	1	1	0	0	4	1	2	1	1	0	2	1	5
122	1	3	2	1	4	2	1	2	1	4	4	2	4	1	1	3	3	3	0	1	5
170	3	2	2	0	0	2	0	1	3	0	4	4	4	1	4	2	1	1	1	0	5
172	3	2	2	1	1	1	1	0	1	1	2	1	0	1	1	1	0	1	4	1	5

Overview

Variables

Most occurring characters

Most occurring categories

Most frequent Decimal Number characters

Most occurring scripts

Most frequent Common characters

Most occurring blocks

Most frequent ASCII characters

Most occurring characters

Most occurring categories

Most frequent Decimal Number characters

Most occurring scripts

Most frequent Common characters

Most occurring blocks

Most frequent ASCII characters

Most occurring characters

Most occurring categories

Most frequent Decimal Number characters

Most occurring scripts

Most frequent Common characters

Most occurring blocks

Most frequent ASCII characters

Most occurring characters

Most occurring categories

Most frequent Decimal Number characters

Most occurring scripts

Most frequent Common characters

Most occurring blocks

Most frequent ASCII characters

Most occurring characters

Most occurring categories

Most frequent Decimal Number characters

Most occurring scripts

Most frequent Common characters

Most occurring blocks

Most frequent ASCII characters

Most occurring characters

Most occurring categories

Most frequent Decimal Number characters

Most occurring scripts

Most frequent Common characters

Most occurring blocks

Most frequent ASCII characters

Most occurring characters

Most occurring categories

Most frequent Decimal Number characters

Most occurring scripts

Most frequent Common characters

Most occurring blocks

Most frequent ASCII characters

Interactions

Correlations

Pearson's r

Spearman's ρ

Kendall's τ

Phik (φk)

Cramér's V (φc)

Missing values

Sample

First rows

Last rows

Duplicate rows

Most frequent

	A0	A5	A36	A45	A13	A54	A33	A48	A12	A57	A46	A50	A31	A3	A52	A17	A8	A6	A40	target
0	0	2	1	2	0	4	2	4	2	4	4	0	4	1	4	3	1	1	2	0
1	3	2	1	4	4	4	1	1	1	1	2	1	1	3	2	3	1	1	4	1
2	0	2	2	4	1	4	1	1	1	2	4	4	4	2	4	2	2	3	0	2
3	4	1	2	0	0	2	2	2	2	2	1	4	1	1	1	1	1	3	1	2
4	0	0	1	0	0	4	0	2	0	4	2	1	0	3	1	0	0	2	2	2
5	1	1	4	2	1	1	0	0	1	0	2	4	1	1	1	2	1	3	2	1
6	0	0	4	4	1	0	4	0	0	4	1	1	0	2	1	3	3	0	0	2
7	1	2	4	1	1	0	2	0	1	1	0	2	0	0	2	1	1	2	4	2
8	4	1	0	2	1	0	4	0	1	0	0	1	1	1	0	3	3	3	4	2
9	1	1	0	0	2	2	0	1	0	4	4	0	2	1	4	1	1	3	4	2

	A0	A5	A36	A45	A13	A54	A33	A48	A12	A57	A46	A50	A31	A3	A52	A17	A8	A6	A40	target	count
152	3	1	2	0	1	0	1	1	3	2	2	1	2	1	2	1	1	3	0	1	8
140	3	0	4	1	2	2	2	2	0	2	0	1	4	0	0	0	1	3	2	0	7
65	1	0	2	1	1	1	1	0	3	2	1	2	1	3	0	3	1	0	2	1	6
105	1	2	2	2	4	0	0	2	0	1	2	1	4	2	1	0	0	2	1	0	6
1	0	0	0	1	1	4	2	2	3	0	1	1	0	3	0	1	2	0	4	1	5
63	1	0	1	2	1	0	0	1	3	2	2	2	0	3	2	3	1	2	4	1	5
89	1	1	4	1	4	0	2	2	1	1	0	0	4	1	2	1	1	0	2	1	5
122	1	3	2	1	4	2	1	2	1	4	4	2	4	1	1	3	3	3	0	1	5
170	3	2	2	0	0	2	0	1	3	0	4	4	4	1	4	2	1	1	1	0	5
172	3	2	2	1	1	1	1	0	1	1	2	1	0	1	1	1	0	1	4	1	5